The global CRM software market is entering a period of growth that would have seemed implausible a decade ago. New forecast data published jointly by IDC and Gartner in June 2026 projects total enterprise CRM spending will reach $120 billion by 2028, up from approximately $72 billion in 2025, representing a compound annual growth rate of 14.2%. To put that in context, the CRM market grew at a 7.8% CAGR between 2019 and 2023. Something has changed — and that something is AI.
According to the IDC forecast, AI-related features — copilots, predictive scoring, automated workflow suggestions, generative email drafting, and deal intelligence — will account for approximately 38% of new CRM spend by 2028, up from roughly 14% in 2025. The mechanism is straightforward: established CRM vendors have found that selling AI capabilities to existing customers on top of their existing contracts is significantly more cost-effective than acquiring new customers. The result is an upsell wave that is inflating average contract values across the enterprise segment even as seat-count growth remains moderate.
Who Benefits
The vendors best positioned to capture AI-driven CRM growth share a common trait: they already have large installed bases of enterprise customers who can be upsold, and they have the proprietary data volumes needed to train and fine-tune AI models that are meaningfully better than generic large language model wrappers.
Salesforce is the clearest beneficiary. Its Einstein AI platform — rebranded and significantly expanded as Salesforce Einstein 1 in 2024 — has become a primary growth driver, with Salesforce reporting in its Q1 FY2027 earnings that Einstein-related contract expansions contributed to a 19% year-over-year increase in average enterprise deal size. The company's Data Cloud, which aggregates customer data across Salesforce products to power AI features, now counts over 35,000 active enterprise customers, up from 18,000 at the end of FY2025.
Microsoft Dynamics 365 and Copilot for Sales represent the other major AI CRM play. Microsoft's advantage is integration with the Office 365 and Teams ecosystem — email, calendar, and meeting data flow into CRM context natively in a way that competitors struggle to replicate through integrations alone. Gartner's June 2026 Magic Quadrant for CRM Lead Management placed Microsoft in the Leaders quadrant for the third consecutive year, noting that Copilot for Sales has driven significant expansion in Dynamics 365 seat counts among existing Microsoft 365 enterprise customers.
HubSpot occupies a different position: it is the primary beneficiary among mid-market companies, where its AI content assistant and Breeze intelligence features have been driving meaningful expansion in average contract values since late 2025. HubSpot's Q1 2026 earnings showed average revenue per customer growing 22% year-over-year, with management attributing roughly half of that growth to AI feature adoption.
Who Is at Risk
The same IDC analysis that forecasts overall market growth also contains a warning for a specific category of vendor: standalone point solutions. Sales engagement platforms, marketing automation tools, and conversation intelligence products that operate independently of a core CRM are facing a squeeze from two directions simultaneously. On one side, the major CRM platforms are building equivalent capabilities natively, removing the need for a separate contract. On the other, customers — under continued pressure to consolidate their tech stacks for cost and data quality reasons — are actively looking for reasons to eliminate non-core vendors from their renewal cycles.
Gartner's 2026 CRM Market Guide noted that "the market for standalone sales engagement and sales intelligence tools is contracting as enterprise customers increasingly prefer native CRM capabilities, even when those capabilities are modestly inferior to best-in-class point solutions." The analysts estimate that the standalone sales engagement category will shrink by approximately 18% in total revenue between 2026 and 2028 as consolidation accelerates.
Mid-sized CRM vendors without a credible AI story face a related risk: customers that might previously have renewed on the strength of a familiar UI or an established relationship are now raising AI capability as a primary evaluation criterion in renewal conversations. Vendors that cannot demonstrate genuine AI differentiation — not just integrations to external AI APIs, but proprietary models trained on customer data — are finding that renewals which were previously routine are becoming competitive situations.
The Buyer's Perspective: Evaluating AI Upsell vs. Switching
For enterprise buyers, the forecast data presents a practical challenge: the AI upsell from an existing CRM vendor is almost always the path of least resistance, but it is not always the right financial or strategic decision. The questions worth asking before committing to an AI tier expansion on an existing contract are substantive.
First, is the AI capability native or bolted on? Vendors that have built AI features on top of their existing data models tend to produce more coherent outputs than those that have wrapped a third-party API around existing functionality. Native AI can access the full relational context of a customer record; API-based implementations typically work with flattened data exports that lose relational nuance.
Second, what data is the AI actually trained on? Vendors offering "personalized" AI features that are in practice running generic LLM inference are increasingly easy to identify: their outputs do not improve meaningfully as more data accumulates in the system. Genuine proprietary model fine-tuning requires customer data volume that only larger enterprises generate — smaller companies may be paying for an AI story that cannot actually deliver for their data environment.
Third, does the AI investment make more sense as an upsell or as a reason to consolidate onto a newer platform? For companies operating fragmented stacks — a legacy CRM, a separate marketing automation platform, a standalone sales engagement tool — the total cost of an AI-tier upgrade across all three can exceed the cost of migrating to a unified platform that includes AI capabilities in its base price. The calculus is never simple, but the IDC data suggests that the companies achieving the best outcomes from CRM AI spend are those that have first done the work of consolidation. For a structured comparison of AI capability across current CRM platforms, CRM Compass provides evaluation frameworks built around enterprise buyer priorities.
The road to $120 billion in CRM spend will be paved with AI contract expansions, some of which will deliver and some of which will not. The buyers who navigate it best will be the ones who treat AI capability evaluation with the same rigor they applied to core CRM evaluation a decade ago — not as a feature checklist, but as a question of whether the underlying data architecture can support the outcomes being promised.